期刊论文、会议论文

Deng, Zhimin

英文

2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)

2156-1125

2017

570-575

2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

December 2016

Shenzhen, China

[Deng, Zhimin] Guangdong Univ Technol, Sch Appl Math, Guangzhou 510520, Guangdong, Peoples R China.^[Zhang, Xingan] Cent China Normal Univ, Sch Math & Stat, Wuhan 430000, Peoples R China.^[Tian, Tianhai] Monash Univ, Sch Math Sci, Melbourne, Vic 3800, Australia.

IEEE, IEEE Comp Soc, Natl Sci Fdn, Harbin Inst Technol

Tian, T Jiang, Q Liu, Y Burrage, K Song, J Wang, Y Hu, X Morishita, S Zhu, Q Wang, G

10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA

IEEE

978-1-5090-1612-9

10.1109/BIBM.2016.7822583

Australian Research CouncilAustralian Research Council [FT100100748]

本校为其他机构

Biological experimental data normally contain noise due to probabilistic character of biochemical reactions and environmental fluctuations. It has been widely assumed that the observed data is the corresponding system states plus a white noise whose variance is a constant. In addition, all observations are assumed to be independent to each other. However, recently biological studies suggested that the randomness in experimental data may depend on system state and observations of different variables may be highly correlated. To address these issues, this work proposes a new model in which the v...